NNRG People - Lappoon R. Tang

Lappoon R. Tang

Neural Networks Lab: Undergraduate Alumni
Machine Learning Lab: Ph.D. Alumni

Lappoon's research focuses on machine learning of natural language. As an undergraduate with the NNRG he worked on learning word representations from text corpora. He completed a PhD with the Machine Learning group on inductive logic programming applied to natural language processing and relational data mining.

Email:

ltang [at] utb edu

Homepage:

http://blue.utb.edu/ltang/

Projects

Learning Word Meanings: The FGREP Method

1987 - 1994

Publications

[Expand to show all 11]

Relational Data Mining with Inductive Logic Programming for Link Discovery	Raymond J. Mooney, P. Melville, L. R. Tang, J. Shavlik, I. Dutra and D. Page	Kargupta, H., Joshi, A., Sivakumar K., and Yesha, Y., editors, Data Mining: Next Generation Chall...	2004

Integrating Top-down and Bottom-up Approaches in Inductive Logic Programming: Applications in Natural Language Processing and Relational Data Mining	Lappoon R. Tang	PhD Thesis, Department of Computer Sciences, University of Texas, Austin, TX, August 2003.	2003

Scaling Up ILP to Large Examples: Results on Link Discovery for Counter-Terrorism	Lappoon R. Tang, Raymond J. Mooney, and Prem Melville	In Proceedings of the KDD-2003 Workshop on Multi-Relational Data Mining (MRDM-2003), 107--12...	2003

Relational Data Mining with Inductive Logic Programming for Link Discovery	Raymond J. Mooney, Prem Melville, Lappoon R. Tang, Jude Shavlik, Inês de Castro Dutra, David P...	In Proceedings of the National Science Foundation Workshop on Next Generation Data Mining, Ba...	2002

Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing	Lappoon R. Tang and Raymond J. Mooney	In Proceedings of the 12th European Conference on Machine Learning, 466-477, Freiburg, Germa...	2001

Automated Construction of Database Interfaces: Integrating Statistical and Relational Learning for Semantic Parsing	Lappoon R. Tang and Raymond J. Mooney	In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing...	2000

Integrating Statistical and Relational Learning for Semantic Parsing: Applications to Learning Natural Language Interfaces for Databases	Lappoon R. Tang	May 2000. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin.	2000

Nested Expressions in Logic Programs	Vladimir Lifschitz, Lappoon R. Tang and Hudson Turner	Annals of Mathematics and Artificial Intelligence, 25:369-389, 1999.	1999

An Experimental Comparison of Genetic Programming and Inductive Logic Programming on Learning Recursive List Functions	Lappoon R. Tang, Mary Elaine Califf, and Raymond J. Mooney	Technical Report AI 98-271, Artificial Intelligence Lab, University of Texas at Austin, May 1998.	1998

Learning to Parse Natural Language Database Queries into Logical Form	Cynthia A. Thompson, Raymond J. Mooney, and Lappoon R. Tang	In Proceedings of the ML-97 Workshop on Automata Induction, Grammatical Inference, and Language ...	1997

A Connectionist Corpus-Based Approach to the Building of Word Representations	Rupert L. Tang	Technical Report HR-94-01, Department of Computer Science, The University of Texas at Austin, 1994.	1994

Software/Data

FGREPNET	The FGREPNET package contains the C-code and data for training and testing an FGREP network in developing distributed re...	1994

Areas of Interest

Natural Language Processing (Cognitive) Concept and Schema Learning